PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-07-02 10:22:04.014203+00:00 (UTC)
In US/Central Time, this is 2024-07-02 05:22:04.014203-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/7d76388e7f33893297c0f521fc95ef33693d19c6cbde40b90cd12e28acf11de6.png
We are just generating a random time serie here.
../../_images/cf0ad696c3430f6bfd866d7b5e6699486a0747fe43edd94522047f4e6ddd690e.png
../../_images/99c39114ce67a71f793298c78a11a5637647d9d62903e884b311c05eaff9abc8.png